Which of the following best describes the difference between a bar graph and a Pareto chart when visualizing qualitative data?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
2. Describing Data with Tables and Graphs
Visualizing Qualitative vs. Quantitative Data
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which type of information can typically be determined from a pie chart?
A
The correlation between two quantitative variables
B
The proportion of each category within a qualitative variable
C
The trend of a variable over time
D
The exact numerical values of a quantitative variable
Verified step by step guidance1
Understand that a pie chart is a graphical representation used to show parts of a whole, typically for categorical (qualitative) data.
Recognize that each slice of the pie chart represents a category, and the size of each slice corresponds to the proportion or percentage of that category relative to the total.
Note that pie charts are not designed to show relationships between two quantitative variables, so they cannot display correlation.
Also, pie charts do not show trends over time, as they represent a snapshot of data distribution at one point or for one dataset.
Finally, pie charts do not provide exact numerical values for quantitative variables; they focus on relative proportions within categories.
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